Skip to main content
Springer Nature Link
Log in

Linkset Quality Assessment for the Thesaurus Framework LusTRE

  • Conference paper
  • First Online:
Metadata and Semantics Research (MTSR 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 672))

Included in the following conference series:

  • 943 Accesses

Abstract

Recently a great number of controlled vocabularies (e.g., thesauri) covering several domains and shared by different communities, have been published and interlinked using the Linked Data paradigm. Remarkable efforts have been spent from data producers to make their thesauri compliant with Linked Data requirements both for the content encoding and for the connections (aka, linkset) with others thesauri. Also in our experience in the creation of the framework of multilingual linked thesauri for the environment (LusTRE), within the EU funded project eENVplus, the development of the interlinking among thesauri, have required significant efforts, thus, the evaluation of their quality in term of usefulness and enrichment of information became a critical issue. In this paper, to support our claim, we discuss the results of the quality evaluation of several linksets created in LusTRE. To this purpose, we consider two quality measures, the average linkset reachability and the average linkset importing, able to quantify the linkset-accessible information.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    http://lod-cloud.net/.

  2. 2.

    http://inspire.ec.europa.eu/.

  3. 3.

    http://linkeddata.ge.imati.cnr.it/.

  4. 4.

    https://www.w3.org/TR/skos-reference/.

  5. 5.

    https://www.w3.org/TR/void/.

  6. 6.

    https://www.w3.org/RDF/.

  7. 7.

    http://showcase.eenvplus.eu/client/editor.htm.

  8. 8.

    http://plugins.qgis.org/plugins/qsphere/.

  9. 9.

    http://showcase.eenvplus.eu/client/geoportal.htm.

  10. 10.

    http://silkframework.org/.

References

  1. Abecker, A., Wössner, R., Schnitter, K., Albertoni, R., De Martino, M., Podestà, P.: Latest developments of the linked thesaurus framework for the environment (LusTRE). In: 29th EnviroInfo and 3rd ICT4S Conference 2015, 7–9 September 2015, Copenhagen, Denmark (2015)

    Google Scholar 

  2. Acosta, M., Zaveri, A., Simperl, E., Kontokostas, D., Auer, S., Lehmann, J.: Crowdsourcing linked data quality assessment. In: Alani, H., et al. (eds.) ISWC 2013. LNCS, vol. 8219, pp. 260–276. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41338-4_17

    Chapter  Google Scholar 

  3. Albertoni, R., De Martino, M., Di Franco, S., De Santis, V., Plini, P.: EARTh: an environmental application reference thesaurus in the linked open data cloud. Semant. Web 5(2), 165–171 (2014)

    Google Scholar 

  4. Albertoni, R., De Martino, M., Podestà, P.: Environmental thesauri under the lens of reusability. In: Kő, A., Francesconi, E. (eds.) EGOVIS 2014. LNCS, vol. 8650, pp. 222–236. Springer, Heidelberg (2014). doi:10.1007/978-3-319-10178-1_18

    Google Scholar 

  5. Albertoni, R., De Martino, M., Podestà, P.: A linkset quality metric measuring multilingual gain in SKOS thesauri. In: Rula, A., Zaveri, A., Knuth, M., Kontokostas, D. (eds.) Proceedings of the 2nd Workshop on Linked Data Quality Co-located with 12th Extended Semantic Web Conference (ESWC 2015), 1 June 2015, Portorož, Slovenia, vol. 1376. CEUR Workshop Proceedings. CEUR-WS.org (2015)

    Google Scholar 

  6. Albertoni, R., Gómez-Pérez, A.: Assessing linkset quality for complementing third-party datasets. In: Guerrini, G. (ed.) EDBT/ICDT Workshops, pp. 52–59. ACM (2013)

    Google Scholar 

  7. Albertoni, R., Isaac, A., Debattista, J., Dekkers, M., Guret, C., Lee, D., Mihindukulasooriya, N., Zaveri, A.: Data on the web best practices: data quality vocabulary (2016), W3C Working Draft. http://www.w3.org/TR/vocab-dqv/. Accessed 28 July 2016

  8. Caracciolo, C., Stellato, A., Morshed, A., Johannsen, G., Rajbhandari, S., Jaques, Y., Keizer, J.: The AGROVOC linked dataset. Semant. Web 4(3), 341–348 (2013)

    Google Scholar 

  9. Guéret, C., Groth, P., Stadler, C., Lehmann, J.: Assessing linked data mappings using network measures. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 87–102. Springer, Heidelberg (2012). doi:10.1007/978-3-642-30284-8_13

    Chapter  Google Scholar 

  10. Heath, T., Bizer, C.: linked data: evolving the web into a global data space. Synthesis Lectures on the Semantic Web. Morgan & Claypool Publishers (2011)

    Google Scholar 

  11. Mader, C., Haslhofer, B., Isaac, A.: Finding quality issues in SKOS vocabularies. In: Zaphiris, P., Buchanan, G., Rasmussen, E., Loizides, F. (eds.) TPDL 2012. LNCS, vol. 7489, pp. 222–233. Springer, Heidelberg (2012). doi:10.1007/978-3-642-33290-6_25

    Chapter  Google Scholar 

  12. Papaleo, L., Pernelle, N., Saïs, F., Dumont, C.: Logical detection of invalid SameAs statements in RDF data. In: Janowicz, K., Schlobach, S., Lambrix, P., Hyvönen, E. (eds.) EKAW 2014. LNCS (LNAI), vol. 8876, pp. 373–384. Springer, Heidelberg (2014). doi:10.1007/978-3-319-13704-9_29

    Google Scholar 

  13. Suominen, O., Hyvönen, E.: Improving the quality of SKOS vocabularies with skosify. In: Teije, A., Völker, J., Handschuh, S., Stuckenschmidt, H., d’Acquin, M., Nikolov, A., Aussenac-Gilles, N., Hernandez, N. (eds.) EKAW 2012. LNCS (LNAI), vol. 7603, pp. 383–397. Springer, Heidelberg (2012). doi:10.1007/978-3-642-33876-2_34

    Chapter  Google Scholar 

  14. Suominen, O., Mader, C.: Assessing and improving the quality of skos vocabularies. J. Data Semant. 3(1), 47–73 (2014)

    Article  Google Scholar 

  15. Zaveri, A., Kontokostas, D., Sherif, M.A., Bühmann, L., Morsey, M., Auer, S., Lehmann, J.: User-driven quality evaluation of DBpedia. In: Sabou, M., Blomqvist, E., Noia, T.D., Sack, H., Pellegrini, T. (eds.) I-SEMANTICS 2013, 4–6 September 2013, Graz, Austria, pp. 97–104. ACM (2013)

    Google Scholar 

  16. Zaveri, A., Rula, A., Maurino, A., Pietrobon, R., Lehmann, J., Auer, S.: Quality assessment for linked open data: a survey. Semant. Web 7(1), 63–93 (2016)

    Article  Google Scholar 

Download references

Acknowledgements

The paper activity has been carried out within the EU funded project eENVplus (CIP-ICT-PSP grant No. 325232). The authors would like to thank all partners and, in particular, Paolo Plini (IIA-CNR) for the important collaboration, and the team of the European Commission’s Joint Research Centre (Italy) for the valuable contribution.

Author information

Authors and Affiliations

  1. Istituto di Matematica Applicata e Tecnologie Informatiche, Consiglio Nazionale delle Ricerche, Via de Marini, 6, 16149, Genova, Italy

    Riccardo Albertoni, Monica De Martino & Paola Podestà

Authors
  1. Riccardo Albertoni
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Monica De Martino
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Paola Podestà
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Paola Podestà .

Editor information

Editors and Affiliations

  1. Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Alexander Technological Educational Inst , Rome, Italy

    Imma Subirats Coll

  3. Sapienza University of Rome , Rome, Italy

    Armando Stellato

  4. Drexel University, Philadelphia, Pennsylvania, USA

    Jane Greenberg

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Albertoni, R., De Martino, M., Podestà, P. (2016). Linkset Quality Assessment for the Thesaurus Framework LusTRE. In: Garoufallou, E., Subirats Coll, I., Stellato, A., Greenberg, J. (eds) Metadata and Semantics Research. MTSR 2016. Communications in Computer and Information Science, vol 672. Springer, Cham. https://doi.org/10.1007/978-3-319-49157-8_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-49157-8_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49156-1

  • Online ISBN: 978-3-319-49157-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics